Ai Infrastructure & Cluster Management

Clan; Lisboa, Porto; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Clan seeks a Senior AI Infrastructure Architect to lead transformation initiatives across AI infrastructure platforms, cluster management and workload orchestration in Lisbon or Porto.

You will shape high-performance computing and secure AI workloads, guiding cross-functional teams and advising C-suite stakeholders on strategic roadmaps and operational models.

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Cybersecurity or related fields.
• Minimum 6 years of experience in infrastructure platforms, cloud-native architecture, or large-scale AI environments with team leadership.
• Deep hands-on and architectural expertise in Kubernetes, Docker, and Linux; experience with enterprise platforms.
• Proficiency in Portuguese and English (written and spoken).

Responsibilities

• Lead transformation initiatives focusing on AI infrastructure platforms, cluster management, and workload orchestration.
• Design HPC solutions, allocating GPUs, memory and storage for AI/ML workloads.
• Define architecture standards, benchmarks, and best practices for cloud-native platforms.
• Drive cluster management, workload scheduling, virtualization, and automation across multi-cloud environments.
• Embed security principles into AI infrastructure stacks and ensure data privacy and security compliance.
• Mentor multidisciplinary teams of engineers, DevOps, and security architects and advise executives.

Skills

Kubernetes

Docker

Linux

MLOps

Education

Bachelor’s or Master’s degree in Computer Engineering/CS/Cybersecurity

Tools

Red Hat OpenShift

SUSE Rancher

VMware Tanzu

Terraform

Ansible

Job description

Are you a Senior Cloud, Platform, or AI Infrastructure Architect ready to step into a high-impact leadership position? We are seeking an experienced AI Infrastructure & Cluster Management Manager / Lead Specialist to join a world-leading Tech Hub and Enterprise Security practice in Lisbon or Porto.

In this role, you will lead complex, large-scale transformation programs—shaping the future of AI-driven infrastructure, high-performance computing, and enterprise-grade security for global clients across Retail, Energy, Telecommunications, Manufacturing, and the Public Sector.

Responsibilities

• To lead transformation initiatives and programs focusing on AI infrastructure platforms, cluster management, and workload orchestration.
• To design and specify high-performance computing solutions, effectively allocating and optimizing computational resources such as GPUs, memory, and storage for complex AI/ML workloads.
• To define architecture standards, benchmarks, and operational best practices for managing large-scale, cloud-native platforms.
• To drive cluster management, workload scheduling, virtualization, and infrastructure automation initiatives across multi-cloud environments.
• To embed enterprise security principles (Security by Design) into AI infrastructure stacks, ensuring compliance with data privacy regulations and security standards.
• To direct and mentor multidisciplinary teams of platform engineers, DevOps specialists, and security architects across high-stakes client projects.
• To advise C-suite executives and key stakeholders, translating complex technical requirements into high-value strategic roadmaps and operational models.

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Cybersecurity, or related fields.
• Minimum of 6 years of proven professional experience in infrastructure platforms, cloud-native architecture, or large-scale AI environments, with a track record of team leadership.
• Deep hands-on and architectural expertise in Kubernetes, Docker, and Linux. Experience with enterprise platforms such as Red Hat OpenShift, SUSE Rancher, or VMware Tanzu.
• Full professional proficiency in Portuguese and English (written and oral).
• Proficiency in Infrastructure as Code tools such as Terraform or Ansible.
• Familiarity with NVIDIA GPU hardware/partitioning (e.g., MIG), MLOps pipelines, or AI workload scheduling is strongly valued.
• Strong analytical thinking, problem-solving skills.
• Availability for occasional international travel as required by project needs.